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关于印尼学生的GenAI偏好和数字公民多维数据集
Wibowo Heru Prasetiyo1, Beti Indah Sari2, Dikdik Baehaqi Arif3
1Civic Education Department, Universitas Muhammadiyah Surakarta, Jl. A. Yani Tromol Pos 1, Pabelan, Kartasura, Surakarta, Central Java, Indonesia.
Data in brief
|January 21, 2026
概括
这项研究详细介绍了印尼预服务教师的数字公民身份数据集,探索他们使用生成人工智能 (GenAI) 的情况. 调查结果突出显示了GenAI的采用情况.
科学领域:
- 教育技术的教育技术
- 社会科学 社会科学 社会科学
- 数字公民研究 数字公民研究
背景情况:
- 技术在教育中的日益集成,迫使未来的教育工作者理解数字公民身份.
- 生成型人工智能 (GenAI) 为数字素养和公民参与带来了新的机遇和挑战.
- 公民教育计划中的服务前教师对于传播数字公民能力至关重要.
研究的目的:
- 介绍印尼未来教师对数字公民的综合数据集.
- 分析生成人工智能 (GenAI) 使用与数字公民之间的关系.
- 为了为未来的研究提供基础,在不同的教育环境中采用AI和数字公民身份.
主要方法:
- 2008年从印尼41所大学的信息提供者收集的数据.
- 信息化同意和道德考虑是优先考虑的.
- 数据集包括人口统计,GenAI平台的使用情况,目的,数字公民身份 (四个子尺度),自我效能,技术焦虑和对行为的态度.
主要成果:
- 该数据集涵盖了预服务教师中广泛的数字公民身份方面.
- 它详细介绍了生成人工智能 (GenAI) 工具利用的普及率和目的.
- 提供了关于自我效能,技术焦虑和与技术使用相关的行为态度的见解.
结论:
- 该数据集对于研究生成人工智能 (GenAI) 采用和数字公民身份的研究人员来说非常有价值.
- 为印尼预服务教师理解数字公民能力提供了一个基准.
- 促进跨文化对全球公民教育中的AI进行比较研究.
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